Overview

Dataset statistics

Number of variables28
Number of observations1330
Missing cells16216
Missing cells (%)43.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 MiB
Average record size in memory2.0 KiB

Variable types

Categorical20
Text8

Alerts

After meeting withprofessionals, I amexcited for myfuture. is highly overall correlated with As a result of thisexperience, I amthinking about myplans for after highschool.High correlation
As a result of thisexperience, I amthinking about myplans for after highschool. is highly overall correlated with After meeting withprofessionals, I amexcited for myfuture. and 2 other fieldsHigh correlation
Get a certificate orlicense for a trade(welding, electrician,plumbing, airconditioning, automechanic, etc.) is highly overall correlated with What grade level are you?High correlation
Get a full-time job is highly overall correlated with What grade level are you?High correlation
Get a part-time job is highly overall correlated with What grade level are you?High correlation
Go to a 2-yearcollege to earn anAssociate's degree is highly overall correlated with What grade level are you?High correlation
Go to a 4-yearcollege to earn anBachelor's degree is highly overall correlated with What grade level are you?High correlation
I feel confidentpursuing a careerthat I am interestedin. is highly overall correlated with What grade level are you?High correlation
I feel prepared forthe future. is highly overall correlated with What grade level are you?High correlation
Presenter Name and Session Title is highly overall correlated with What grade level are you? and 1 other fieldsHigh correlation
This experiencehelped meunderstand howschool prepares mefor the future. is highly overall correlated with As a result of thisexperience, I amthinking about myplans for after highschool.High correlation
This experiencehelped meunderstand what Iwant (or don’t want)to do after highschool is highly overall correlated with What grade level are you?High correlation
What grade level are you? is highly overall correlated with As a result of thisexperience, I amthinking about myplans for after highschool. and 9 other fieldsHigh correlation
What school district do you attend? is highly overall correlated with Presenter Name and Session TitleHigh correlation
What did you like about this experience? has 17 (1.3%) missing valuesMissing
Other (Please Specify) has 1190 (89.5%) missing valuesMissing
How could this experience be better for next time has 47 (3.5%) missing valuesMissing
Other (Please Specify).1 has 1203 (90.5%) missing valuesMissing
I learned somethingabout a career atthis experience thatI did not knowbefore? has 54 (4.1%) missing valuesMissing
This experiencehelped meunderstand howschool prepares mefor the future. has 59 (4.4%) missing valuesMissing
After meeting withprofessionals, I amexcited for myfuture. has 75 (5.6%) missing valuesMissing
I feel confidentovercomingchallenges to reachmy goals. has 78 (5.9%) missing valuesMissing
I felt included at thisexperience has 99 (7.4%) missing valuesMissing
I felt respected bythe adults at thisexperience has 81 (6.1%) missing valuesMissing
What is one thing you learned at this experience that changed how you think about your future? has 246 (18.5%) missing valuesMissing
What kinds of help do you want from your teachers or your school? (select all that apply)? has 103 (7.7%) missing valuesMissing
Other (Please Specify).2 has 1226 (92.2%) missing valuesMissing
What school district do you attend? has 133 (10.0%) missing valuesMissing
What grade level are you? has 186 (14.0%) missing valuesMissing
What is your race or ethnicity? has 84 (6.3%) missing valuesMissing
This experiencehelped meunderstand what Iwant (or don’t want)to do after highschool has 1203 (90.5%) missing valuesMissing
As a result of thisexperience, I amthinking about myplans for after highschool. has 1206 (90.7%) missing valuesMissing
I feel confidentpursuing a careerthat I am interestedin. has 1204 (90.5%) missing valuesMissing
I feel prepared forthe future. has 1203 (90.5%) missing valuesMissing
Go to a 2-yearcollege to earn anAssociate's degree has 1206 (90.7%) missing valuesMissing
Go to a 4-yearcollege to earn anBachelor's degree has 1203 (90.5%) missing valuesMissing
Get a certificate orlicense for a trade(welding, electrician,plumbing, airconditioning, automechanic, etc.) has 1210 (91.0%) missing valuesMissing
Get a part-time job has 1209 (90.9%) missing valuesMissing
Get a full-time job has 1210 (91.0%) missing valuesMissing
Volunteers love hearing feedback from you! Please leave a thank you note for today'svolunteers has 480 (36.1%) missing valuesMissing

Reproduction

Analysis started2024-04-05 21:11:39.256564
Analysis finished2024-04-05 21:11:44.016656
Duration4.76 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

Presenter Name and Session Title
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)2.4%
Missing1
Missing (%)0.1%
Memory size138.7 KiB
Allen Village Charter School Career Jumping - 8th & 9th Grades
173 
Rosedale Middle School Career Jumping - 6th Grade
153 
Central Middle School Career Speakers (KS) - 7th Grade
121 
Grandview 8th Grade Career Jumping
116 
Arrowhead Middle School Career Jumping - 6th Grade
114 
Other values (27)
652 

Length

Max length63
Median length56
Mean length49.764485
Min length15

Characters and Unicode

Total characters66137
Distinct characters66
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st rowHNTB Visit 2/27
2nd rowHNTB Visit 2/27
3rd rowHNTB Visit 2/27
4th rowHNTB Visit 2/27
5th rowHNTB Visit 2/27

Common Values

ValueCountFrequency (%)
Allen Village Charter School Career Jumping - 8th & 9th Grades 173
13.0%
Rosedale Middle School Career Jumping - 6th Grade 153
11.5%
Central Middle School Career Speakers (KS) - 7th Grade 121
9.1%
Grandview 8th Grade Career Jumping 116
8.7%
Arrowhead Middle School Career Jumping - 6th Grade 114
8.6%
Argentine Middle School Career Jumping - 6th Grade 101
 
7.6%
Crossroads Charter School 6th Grade Career Speakers 83
 
6.2%
Gloria Willis Middle School Career Speakers - 7th Grade 82
 
6.2%
Central Middle School Career Jumping (KS) - 6th Grade 79
 
5.9%
Allen Village Charter School Career Speakers - 3rd - 5th Grades 45
 
3.4%
Other values (22) 262
19.7%

Length

2024-04-05T16:11:44.110658image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1202
 
11.1%
career 1188
 
11.0%
school 1097
 
10.2%
grade 974
 
9.0%
middle 772
 
7.2%
jumping 766
 
7.1%
6th 530
 
4.9%
speakers 410
 
3.8%
8th 324
 
3.0%
charter 301
 
2.8%
Other values (77) 3223
29.9%

Most occurring characters

ValueCountFrequency (%)
9458
14.3%
e 7337
 
11.1%
r 5873
 
8.9%
a 4422
 
6.7%
l 3699
 
5.6%
d 3331
 
5.0%
o 2976
 
4.5%
h 2946
 
4.5%
i 2762
 
4.2%
t 2179
 
3.3%
Other values (56) 21154
32.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 66137
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9458
14.3%
e 7337
 
11.1%
r 5873
 
8.9%
a 4422
 
6.7%
l 3699
 
5.6%
d 3331
 
5.0%
o 2976
 
4.5%
h 2946
 
4.5%
i 2762
 
4.2%
t 2179
 
3.3%
Other values (56) 21154
32.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 66137
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9458
14.3%
e 7337
 
11.1%
r 5873
 
8.9%
a 4422
 
6.7%
l 3699
 
5.6%
d 3331
 
5.0%
o 2976
 
4.5%
h 2946
 
4.5%
i 2762
 
4.2%
t 2179
 
3.3%
Other values (56) 21154
32.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 66137
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9458
14.3%
e 7337
 
11.1%
r 5873
 
8.9%
a 4422
 
6.7%
l 3699
 
5.6%
d 3331
 
5.0%
o 2976
 
4.5%
h 2946
 
4.5%
i 2762
 
4.2%
t 2179
 
3.3%
Other values (56) 21154
32.0%
Distinct13
Distinct (%)1.0%
Missing17
Missing (%)1.3%
Memory size112.2 KiB
Exploring Careers
433 
Meeting Professionals
321 
Exploring Careers,Meeting Professionals
213 
Not sure / None of the Above
123 
Exploring Careers,Meeting Professionals,Partipating in hands-on experiences
85 
Other values (8)
138 

Length

Max length104
Median length82
Mean length29.662605
Min length17

Characters and Unicode

Total characters38947
Distinct characters29
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowPartipating in hands-on experiences
2nd rowExploring Careers,Meeting Professionals,Partipating in hands-on experiences
3rd rowExploring Careers,Meeting Professionals
4th rowExploring Careers,Meeting Professionals
5th rowMeeting Professionals

Common Values

ValueCountFrequency (%)
Exploring Careers 433
32.6%
Meeting Professionals 321
24.1%
Exploring Careers,Meeting Professionals 213
16.0%
Not sure / None of the Above 123
 
9.2%
Exploring Careers,Meeting Professionals,Partipating in hands-on experiences 85
 
6.4%
Partipating in hands-on experiences 63
 
4.7%
Exploring Careers,Partipating in hands-on experiences 32
 
2.4%
Meeting Professionals,Partipating in hands-on experiences 22
 
1.7%
Exploring Careers,Meeting Professionals,Partipating in hands-on experiences,Not sure / None of the Above 9
 
0.7%
Exploring Careers,Not sure / None of the Above 8
 
0.6%
Other values (3) 4
 
0.3%
(Missing) 17
 
1.3%

Length

2024-04-05T16:11:44.232365image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
exploring 781
18.4%
professionals 534
12.6%
careers 433
10.2%
meeting 344
 
8.1%
careers,meeting 307
 
7.2%
hands-on 214
 
5.0%
in 214
 
5.0%
experiences 202
 
4.8%
above 144
 
3.4%
the 144
 
3.4%
Other values (11) 934
22.0%

Most occurring characters

ValueCountFrequency (%)
e 4947
12.7%
r 3566
 
9.2%
s 3306
 
8.5%
n 3297
 
8.5%
i 2939
 
7.5%
2938
 
7.5%
o 2873
 
7.4%
a 2074
 
5.3%
g 1646
 
4.2%
l 1432
 
3.7%
Other values (19) 9929
25.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 38947
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 4947
12.7%
r 3566
 
9.2%
s 3306
 
8.5%
n 3297
 
8.5%
i 2939
 
7.5%
2938
 
7.5%
o 2873
 
7.4%
a 2074
 
5.3%
g 1646
 
4.2%
l 1432
 
3.7%
Other values (19) 9929
25.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 38947
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 4947
12.7%
r 3566
 
9.2%
s 3306
 
8.5%
n 3297
 
8.5%
i 2939
 
7.5%
2938
 
7.5%
o 2873
 
7.4%
a 2074
 
5.3%
g 1646
 
4.2%
l 1432
 
3.7%
Other values (19) 9929
25.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 38947
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 4947
12.7%
r 3566
 
9.2%
s 3306
 
8.5%
n 3297
 
8.5%
i 2939
 
7.5%
2938
 
7.5%
o 2873
 
7.4%
a 2074
 
5.3%
g 1646
 
4.2%
l 1432
 
3.7%
Other values (19) 9929
25.5%
Distinct110
Distinct (%)78.6%
Missing1190
Missing (%)89.5%
Memory size49.8 KiB
2024-04-05T16:11:44.466645image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Length

Max length129
Median length50
Mean length23.907143
Min length1

Characters and Unicode

Total characters3347
Distinct characters60
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)62.9%

Sample

1st rowFirst hand experience on how HNTB operates internally and externally.
2nd rowthe different careers
3rd rowjust did not like it
4th rowdiff things to do
5th rowNo
ValueCountFrequency (%)
i 48
 
7.2%
the 27
 
4.0%
to 26
 
3.9%
like 21
 
3.1%
a 15
 
2.2%
it 13
 
1.9%
and 12
 
1.8%
more 11
 
1.6%
people 11
 
1.6%
about 11
 
1.6%
Other values (217) 473
70.8%
2024-04-05T16:11:44.931415image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
529
15.8%
e 371
 
11.1%
t 269
 
8.0%
o 245
 
7.3%
i 197
 
5.9%
a 182
 
5.4%
n 180
 
5.4%
r 158
 
4.7%
l 123
 
3.7%
h 113
 
3.4%
Other values (50) 980
29.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3347
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
529
15.8%
e 371
 
11.1%
t 269
 
8.0%
o 245
 
7.3%
i 197
 
5.9%
a 182
 
5.4%
n 180
 
5.4%
r 158
 
4.7%
l 123
 
3.7%
h 113
 
3.4%
Other values (50) 980
29.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3347
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
529
15.8%
e 371
 
11.1%
t 269
 
8.0%
o 245
 
7.3%
i 197
 
5.9%
a 182
 
5.4%
n 180
 
5.4%
r 158
 
4.7%
l 123
 
3.7%
h 113
 
3.4%
Other values (50) 980
29.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3347
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
529
15.8%
e 371
 
11.1%
t 269
 
8.0%
o 245
 
7.3%
i 197
 
5.9%
a 182
 
5.4%
n 180
 
5.4%
r 158
 
4.7%
l 123
 
3.7%
h 113
 
3.4%
Other values (50) 980
29.3%
Distinct54
Distinct (%)4.2%
Missing47
Missing (%)3.5%
Memory size131.7 KiB
2024-04-05T16:11:45.122064image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Length

Max length218
Median length165
Mean length46.845674
Min length23

Characters and Unicode

Total characters60103
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)1.6%

Sample

1st rowParticipating in hands-on experiences
2nd rowMore variety in careers represented,Participating in hands-on experiences
3rd rowParticipating in hands-on experiences
4th rowMore time with professionals
5th rowMore time with professionals,More variety in careers represented
ValueCountFrequency (%)
more 800
 
9.3%
in 768
 
8.9%
with 709
 
8.2%
time 709
 
8.2%
it 502
 
5.8%
variety 397
 
4.6%
careers 397
 
4.6%
professionals 374
 
4.3%
hands-on 371
 
4.3%
experiences 335
 
3.9%
Other values (35) 3260
37.8%
2024-04-05T16:11:45.455458image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 7755
12.9%
7339
12.2%
i 5639
9.4%
r 4592
 
7.6%
s 4442
 
7.4%
t 3799
 
6.3%
o 3769
 
6.3%
n 3753
 
6.2%
a 3173
 
5.3%
p 1848
 
3.1%
Other values (24) 13994
23.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 60103
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 7755
12.9%
7339
12.2%
i 5639
9.4%
r 4592
 
7.6%
s 4442
 
7.4%
t 3799
 
6.3%
o 3769
 
6.3%
n 3753
 
6.2%
a 3173
 
5.3%
p 1848
 
3.1%
Other values (24) 13994
23.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 60103
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 7755
12.9%
7339
12.2%
i 5639
9.4%
r 4592
 
7.6%
s 4442
 
7.4%
t 3799
 
6.3%
o 3769
 
6.3%
n 3753
 
6.2%
a 3173
 
5.3%
p 1848
 
3.1%
Other values (24) 13994
23.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 60103
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 7755
12.9%
7339
12.2%
i 5639
9.4%
r 4592
 
7.6%
s 4442
 
7.4%
t 3799
 
6.3%
o 3769
 
6.3%
n 3753
 
6.2%
a 3173
 
5.3%
p 1848
 
3.1%
Other values (24) 13994
23.3%
Distinct100
Distinct (%)78.7%
Missing1203
Missing (%)90.5%
Memory size48.6 KiB
2024-04-05T16:11:45.752459image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Length

Max length107
Median length44
Mean length25.267717
Min length1

Characters and Unicode

Total characters3209
Distinct characters65
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)64.6%

Sample

1st rowMore ways to engage the students?
2nd rowGet grouped better
3rd rowExplaning more about careers
4th rowIt can't I just don't like stuff like that
5th rowfootbal
ValueCountFrequency (%)
more 50
 
7.7%
to 26
 
4.0%
the 25
 
3.8%
time 22
 
3.4%
i 19
 
2.9%
people 15
 
2.3%
it 13
 
2.0%
we 13
 
2.0%
do 13
 
2.0%
and 12
 
1.8%
Other values (206) 445
68.1%
2024-04-05T16:11:46.218139image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
527
16.4%
e 382
11.9%
o 256
 
8.0%
t 242
 
7.5%
a 184
 
5.7%
s 163
 
5.1%
i 155
 
4.8%
r 154
 
4.8%
n 133
 
4.1%
h 113
 
3.5%
Other values (55) 900
28.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3209
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
527
16.4%
e 382
11.9%
o 256
 
8.0%
t 242
 
7.5%
a 184
 
5.7%
s 163
 
5.1%
i 155
 
4.8%
r 154
 
4.8%
n 133
 
4.1%
h 113
 
3.5%
Other values (55) 900
28.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3209
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
527
16.4%
e 382
11.9%
o 256
 
8.0%
t 242
 
7.5%
a 184
 
5.7%
s 163
 
5.1%
i 155
 
4.8%
r 154
 
4.8%
n 133
 
4.1%
h 113
 
3.5%
Other values (55) 900
28.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3209
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
527
16.4%
e 382
11.9%
o 256
 
8.0%
t 242
 
7.5%
a 184
 
5.7%
s 163
 
5.1%
i 155
 
4.8%
r 154
 
4.8%
n 133
 
4.1%
h 113
 
3.5%
Other values (55) 900
28.0%
Distinct5
Distinct (%)0.4%
Missing54
Missing (%)4.1%
Memory size84.8 KiB
Agree
578 
Strongly Agree
338 
Neutral
235 
Strongly Disagree
78 
Disagree
 
47

Length

Max length17
Median length14
Mean length8.596395
Min length5

Characters and Unicode

Total characters10969
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowStrongly Agree
3rd rowAgree
4th rowAgree
5th rowStrongly Agree

Common Values

ValueCountFrequency (%)
Agree 578
43.5%
Strongly Agree 338
25.4%
Neutral 235
17.7%
Strongly Disagree 78
 
5.9%
Disagree 47
 
3.5%
(Missing) 54
 
4.1%

Length

2024-04-05T16:11:46.487913image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-05T16:11:46.618304image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
agree 916
54.1%
strongly 416
24.6%
neutral 235
 
13.9%
disagree 125
 
7.4%

Most occurring characters

ValueCountFrequency (%)
e 2317
21.1%
r 1692
15.4%
g 1457
13.3%
A 916
 
8.4%
t 651
 
5.9%
l 651
 
5.9%
o 416
 
3.8%
n 416
 
3.8%
S 416
 
3.8%
y 416
 
3.8%
Other values (7) 1621
14.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 10969
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 2317
21.1%
r 1692
15.4%
g 1457
13.3%
A 916
 
8.4%
t 651
 
5.9%
l 651
 
5.9%
o 416
 
3.8%
n 416
 
3.8%
S 416
 
3.8%
y 416
 
3.8%
Other values (7) 1621
14.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 10969
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 2317
21.1%
r 1692
15.4%
g 1457
13.3%
A 916
 
8.4%
t 651
 
5.9%
l 651
 
5.9%
o 416
 
3.8%
n 416
 
3.8%
S 416
 
3.8%
y 416
 
3.8%
Other values (7) 1621
14.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 10969
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 2317
21.1%
r 1692
15.4%
g 1457
13.3%
A 916
 
8.4%
t 651
 
5.9%
l 651
 
5.9%
o 416
 
3.8%
n 416
 
3.8%
S 416
 
3.8%
y 416
 
3.8%
Other values (7) 1621
14.8%
Distinct5
Distinct (%)0.4%
Missing59
Missing (%)4.4%
Memory size84.6 KiB
Agree
465 
Neutral
361 
Strongly Agree
285 
Disagree
93 
Strongly Disagree
67 

Length

Max length17
Median length14
Mean length8.4382376
Min length5

Characters and Unicode

Total characters10725
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowAgree
3rd rowAgree
4th rowNeutral
5th rowAgree

Common Values

ValueCountFrequency (%)
Agree 465
35.0%
Neutral 361
27.1%
Strongly Agree 285
21.4%
Disagree 93
 
7.0%
Strongly Disagree 67
 
5.0%
(Missing) 59
 
4.4%

Length

2024-04-05T16:11:46.740318image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-05T16:11:46.883933image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
agree 750
46.2%
neutral 361
22.2%
strongly 352
21.7%
disagree 160
 
9.9%

Most occurring characters

ValueCountFrequency (%)
e 2181
20.3%
r 1623
15.1%
g 1262
11.8%
A 750
 
7.0%
t 713
 
6.6%
l 713
 
6.6%
a 521
 
4.9%
u 361
 
3.4%
N 361
 
3.4%
S 352
 
3.3%
Other values (7) 1888
17.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 10725
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 2181
20.3%
r 1623
15.1%
g 1262
11.8%
A 750
 
7.0%
t 713
 
6.6%
l 713
 
6.6%
a 521
 
4.9%
u 361
 
3.4%
N 361
 
3.4%
S 352
 
3.3%
Other values (7) 1888
17.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 10725
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 2181
20.3%
r 1623
15.1%
g 1262
11.8%
A 750
 
7.0%
t 713
 
6.6%
l 713
 
6.6%
a 521
 
4.9%
u 361
 
3.4%
N 361
 
3.4%
S 352
 
3.3%
Other values (7) 1888
17.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 10725
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 2181
20.3%
r 1623
15.1%
g 1262
11.8%
A 750
 
7.0%
t 713
 
6.6%
l 713
 
6.6%
a 521
 
4.9%
u 361
 
3.4%
N 361
 
3.4%
S 352
 
3.3%
Other values (7) 1888
17.6%

After meeting withprofessionals, I amexcited for myfuture.
Categorical

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)0.4%
Missing75
Missing (%)5.6%
Memory size85.0 KiB
Neutral
406 
Agree
368 
Strongly Agree
300 
Strongly Disagree
91 
Disagree
90 

Length

Max length17
Median length14
Mean length8.8836653
Min length5

Characters and Unicode

Total characters11149
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree
2nd rowNeutral
3rd rowAgree
4th rowStrongly Agree
5th rowAgree

Common Values

ValueCountFrequency (%)
Neutral 406
30.5%
Agree 368
27.7%
Strongly Agree 300
22.6%
Strongly Disagree 91
 
6.8%
Disagree 90
 
6.8%
(Missing) 75
 
5.6%

Length

2024-04-05T16:11:47.005932image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-05T16:11:47.122931image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
agree 668
40.6%
neutral 406
24.7%
strongly 391
23.8%
disagree 181
 
11.0%

Most occurring characters

ValueCountFrequency (%)
e 2104
18.9%
r 1646
14.8%
g 1240
11.1%
t 797
 
7.1%
l 797
 
7.1%
A 668
 
6.0%
a 587
 
5.3%
N 406
 
3.6%
u 406
 
3.6%
S 391
 
3.5%
Other values (7) 2107
18.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11149
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 2104
18.9%
r 1646
14.8%
g 1240
11.1%
t 797
 
7.1%
l 797
 
7.1%
A 668
 
6.0%
a 587
 
5.3%
N 406
 
3.6%
u 406
 
3.6%
S 391
 
3.5%
Other values (7) 2107
18.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11149
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 2104
18.9%
r 1646
14.8%
g 1240
11.1%
t 797
 
7.1%
l 797
 
7.1%
A 668
 
6.0%
a 587
 
5.3%
N 406
 
3.6%
u 406
 
3.6%
S 391
 
3.5%
Other values (7) 2107
18.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11149
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 2104
18.9%
r 1646
14.8%
g 1240
11.1%
t 797
 
7.1%
l 797
 
7.1%
A 668
 
6.0%
a 587
 
5.3%
N 406
 
3.6%
u 406
 
3.6%
S 391
 
3.5%
Other values (7) 2107
18.9%
Distinct5
Distinct (%)0.4%
Missing78
Missing (%)5.9%
Memory size84.3 KiB
Agree
444 
Neutral
402 
Strongly Agree
258 
Disagree
80 
Strongly Disagree
68 

Length

Max length17
Median length14
Mean length8.3402556
Min length5

Characters and Unicode

Total characters10442
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowNeutral
3rd rowAgree
4th rowAgree
5th rowAgree

Common Values

ValueCountFrequency (%)
Agree 444
33.4%
Neutral 402
30.2%
Strongly Agree 258
19.4%
Disagree 80
 
6.0%
Strongly Disagree 68
 
5.1%
(Missing) 78
 
5.9%

Length

2024-04-05T16:11:47.240932image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-05T16:11:47.361934image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
agree 702
44.5%
neutral 402
25.5%
strongly 326
20.7%
disagree 148
 
9.4%

Most occurring characters

ValueCountFrequency (%)
e 2102
20.1%
r 1578
15.1%
g 1176
11.3%
l 728
 
7.0%
t 728
 
7.0%
A 702
 
6.7%
a 550
 
5.3%
u 402
 
3.8%
N 402
 
3.8%
S 326
 
3.1%
Other values (7) 1748
16.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 10442
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 2102
20.1%
r 1578
15.1%
g 1176
11.3%
l 728
 
7.0%
t 728
 
7.0%
A 702
 
6.7%
a 550
 
5.3%
u 402
 
3.8%
N 402
 
3.8%
S 326
 
3.1%
Other values (7) 1748
16.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 10442
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 2102
20.1%
r 1578
15.1%
g 1176
11.3%
l 728
 
7.0%
t 728
 
7.0%
A 702
 
6.7%
a 550
 
5.3%
u 402
 
3.8%
N 402
 
3.8%
S 326
 
3.1%
Other values (7) 1748
16.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 10442
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 2102
20.1%
r 1578
15.1%
g 1176
11.3%
l 728
 
7.0%
t 728
 
7.0%
A 702
 
6.7%
a 550
 
5.3%
u 402
 
3.8%
N 402
 
3.8%
S 326
 
3.1%
Other values (7) 1748
16.7%
Distinct5
Distinct (%)0.4%
Missing99
Missing (%)7.4%
Memory size84.3 KiB
Agree
439 
Neutral
370 
Strongly Agree
285 
Disagree
73 
Strongly Disagree
64 

Length

Max length17
Median length14
Mean length8.4865963
Min length5

Characters and Unicode

Total characters10447
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree
2nd rowAgree
3rd rowAgree
4th rowAgree
5th rowStrongly Agree

Common Values

ValueCountFrequency (%)
Agree 439
33.0%
Neutral 370
27.8%
Strongly Agree 285
21.4%
Disagree 73
 
5.5%
Strongly Disagree 64
 
4.8%
(Missing) 99
 
7.4%

Length

2024-04-05T16:11:47.476933image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-05T16:11:47.594934image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
agree 724
45.8%
neutral 370
23.4%
strongly 349
22.1%
disagree 137
 
8.7%

Most occurring characters

ValueCountFrequency (%)
e 2092
20.0%
r 1580
15.1%
g 1210
11.6%
A 724
 
6.9%
t 719
 
6.9%
l 719
 
6.9%
a 507
 
4.9%
u 370
 
3.5%
N 370
 
3.5%
S 349
 
3.3%
Other values (7) 1807
17.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 10447
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 2092
20.0%
r 1580
15.1%
g 1210
11.6%
A 724
 
6.9%
t 719
 
6.9%
l 719
 
6.9%
a 507
 
4.9%
u 370
 
3.5%
N 370
 
3.5%
S 349
 
3.3%
Other values (7) 1807
17.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 10447
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 2092
20.0%
r 1580
15.1%
g 1210
11.6%
A 724
 
6.9%
t 719
 
6.9%
l 719
 
6.9%
a 507
 
4.9%
u 370
 
3.5%
N 370
 
3.5%
S 349
 
3.3%
Other values (7) 1807
17.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 10447
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 2092
20.0%
r 1580
15.1%
g 1210
11.6%
A 724
 
6.9%
t 719
 
6.9%
l 719
 
6.9%
a 507
 
4.9%
u 370
 
3.5%
N 370
 
3.5%
S 349
 
3.3%
Other values (7) 1807
17.3%
Distinct5
Distinct (%)0.4%
Missing81
Missing (%)6.1%
Memory size86.1 KiB
Strongly Agree
533 
Agree
419 
Neutral
199 
Strongly Disagree
60 
Disagree
 
38

Length

Max length17
Median length14
Mean length9.8270616
Min length5

Characters and Unicode

Total characters12274
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowStrongly Agree
2nd rowAgree
3rd rowStrongly Agree
4th rowStrongly Agree
5th rowNeutral

Common Values

ValueCountFrequency (%)
Strongly Agree 533
40.1%
Agree 419
31.5%
Neutral 199
 
15.0%
Strongly Disagree 60
 
4.5%
Disagree 38
 
2.9%
(Missing) 81
 
6.1%

Length

2024-04-05T16:11:47.710565image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-05T16:11:47.832872image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
agree 952
51.7%
strongly 593
32.2%
neutral 199
 
10.8%
disagree 98
 
5.3%

Most occurring characters

ValueCountFrequency (%)
e 2299
18.7%
r 1842
15.0%
g 1643
13.4%
A 952
7.8%
t 792
 
6.5%
l 792
 
6.5%
S 593
 
4.8%
593
 
4.8%
y 593
 
4.8%
n 593
 
4.8%
Other values (7) 1582
12.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 12274
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 2299
18.7%
r 1842
15.0%
g 1643
13.4%
A 952
7.8%
t 792
 
6.5%
l 792
 
6.5%
S 593
 
4.8%
593
 
4.8%
y 593
 
4.8%
n 593
 
4.8%
Other values (7) 1582
12.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 12274
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 2299
18.7%
r 1842
15.0%
g 1643
13.4%
A 952
7.8%
t 792
 
6.5%
l 792
 
6.5%
S 593
 
4.8%
593
 
4.8%
y 593
 
4.8%
n 593
 
4.8%
Other values (7) 1582
12.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 12274
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 2299
18.7%
r 1842
15.0%
g 1643
13.4%
A 952
7.8%
t 792
 
6.5%
l 792
 
6.5%
S 593
 
4.8%
593
 
4.8%
y 593
 
4.8%
n 593
 
4.8%
Other values (7) 1582
12.9%
Distinct974
Distinct (%)89.9%
Missing246
Missing (%)18.5%
Memory size139.9 KiB
2024-04-05T16:11:48.153744image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Length

Max length445
Median length130
Mean length48.575646
Min length2

Characters and Unicode

Total characters52656
Distinct characters86
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique920 ?
Unique (%)84.9%

Sample

1st rowTo explore and not stick to one major
2nd rowI learned that there are many things that go into engineering and that technology has helped many people with their jobs.
3rd rowYou can find a job and get hired outside of your major.
4th rowI learned that you can work for a game compony and end up at HNTB
5th rowthat even though you get a degree in a specific field you can transition at anytime to another.
ValueCountFrequency (%)
i 590
 
5.6%
to 511
 
4.8%
that 356
 
3.3%
a 272
 
2.6%
you 260
 
2.4%
the 255
 
2.4%
and 221
 
2.1%
about 157
 
1.5%
it 156
 
1.5%
learned 153
 
1.4%
Other values (1187) 7699
72.4%
2024-04-05T16:11:48.660317image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9570
18.2%
e 5110
 
9.7%
t 4080
 
7.7%
o 3960
 
7.5%
a 3473
 
6.6%
n 2858
 
5.4%
h 2256
 
4.3%
r 2220
 
4.2%
i 2174
 
4.1%
s 1863
 
3.5%
Other values (76) 15092
28.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 52656
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9570
18.2%
e 5110
 
9.7%
t 4080
 
7.7%
o 3960
 
7.5%
a 3473
 
6.6%
n 2858
 
5.4%
h 2256
 
4.3%
r 2220
 
4.2%
i 2174
 
4.1%
s 1863
 
3.5%
Other values (76) 15092
28.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 52656
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9570
18.2%
e 5110
 
9.7%
t 4080
 
7.7%
o 3960
 
7.5%
a 3473
 
6.6%
n 2858
 
5.4%
h 2256
 
4.3%
r 2220
 
4.2%
i 2174
 
4.1%
s 1863
 
3.5%
Other values (76) 15092
28.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 52656
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9570
18.2%
e 5110
 
9.7%
t 4080
 
7.7%
o 3960
 
7.5%
a 3473
 
6.6%
n 2858
 
5.4%
h 2256
 
4.3%
r 2220
 
4.2%
i 2174
 
4.1%
s 1863
 
3.5%
Other values (76) 15092
28.7%
Distinct205
Distinct (%)16.7%
Missing103
Missing (%)7.7%
Memory size644.7 KiB
2024-04-05T16:11:48.909725image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Length

Max length614
Median length467
Mean length240.51834
Min length35

Characters and Unicode

Total characters295116
Distinct characters38
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)3.1%

Sample

1st rowTalking to someone with a career that interests you
2nd rowTalking to someone with a career that interests you,Visiting a company to see professionals in action and what it is like at that job,Learning about your options after high school graduation (for example: community college, university, certification programs, military/police, entering a job),Working on a project to see how what you’re learning about can be applied to everyday life
3rd rowLearning about a variety of careers
4th rowLearning about a variety of careers,Talking to someone with a career that interests you,Visiting a company to see professionals in action and what it is like at that job,Seeing what it would be like to be a college student by visiting a college campus,Practicing the skills I need to get a great job
5th rowLearning about a variety of careers,Talking to someone with a career that interests you,Visiting a company to see professionals in action and what it is like at that job,Working on a project to see how what you’re learning about can be applied to everyday life,Spending time working on what my plans for after high school are,Practicing the skills I need to get a great job
ValueCountFrequency (%)
a 4191
 
8.7%
to 2963
 
6.2%
what 1802
 
3.7%
college 1485
 
3.1%
about 1400
 
2.9%
be 1391
 
2.9%
that 1245
 
2.6%
like 1084
 
2.3%
it 1084
 
2.3%
learning 996
 
2.1%
Other values (87) 30459
63.3%
2024-04-05T16:11:49.311819image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46873
15.9%
e 26329
 
8.9%
t 22718
 
7.7%
a 22205
 
7.5%
i 22015
 
7.5%
o 21225
 
7.2%
n 16774
 
5.7%
r 14133
 
4.8%
s 11456
 
3.9%
l 10372
 
3.5%
Other values (28) 81016
27.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 295116
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
46873
15.9%
e 26329
 
8.9%
t 22718
 
7.7%
a 22205
 
7.5%
i 22015
 
7.5%
o 21225
 
7.2%
n 16774
 
5.7%
r 14133
 
4.8%
s 11456
 
3.9%
l 10372
 
3.5%
Other values (28) 81016
27.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 295116
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
46873
15.9%
e 26329
 
8.9%
t 22718
 
7.7%
a 22205
 
7.5%
i 22015
 
7.5%
o 21225
 
7.2%
n 16774
 
5.7%
r 14133
 
4.8%
s 11456
 
3.9%
l 10372
 
3.5%
Other values (28) 81016
27.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 295116
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
46873
15.9%
e 26329
 
8.9%
t 22718
 
7.7%
a 22205
 
7.5%
i 22015
 
7.5%
o 21225
 
7.2%
n 16774
 
5.7%
r 14133
 
4.8%
s 11456
 
3.9%
l 10372
 
3.5%
Other values (28) 81016
27.5%
Distinct78
Distinct (%)75.0%
Missing1226
Missing (%)92.2%
Memory size47.0 KiB
2024-04-05T16:11:49.668889image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Length

Max length116
Median length50.5
Mean length21.298077
Min length1

Characters and Unicode

Total characters2215
Distinct characters51
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)58.7%

Sample

1st rowjust helping on project
2nd rowlearn everything
3rd rowI don’t know
4th rowNo
5th rowI will know what to do if I go to college
ValueCountFrequency (%)
to 26
 
5.7%
i 22
 
4.8%
the 14
 
3.1%
help 13
 
2.8%
a 11
 
2.4%
about 10
 
2.2%
and 8
 
1.8%
like 8
 
1.8%
you 8
 
1.8%
me 8
 
1.8%
Other values (168) 329
72.0%
2024-04-05T16:11:50.036899image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
360
16.3%
e 223
 
10.1%
o 190
 
8.6%
t 162
 
7.3%
a 137
 
6.2%
n 128
 
5.8%
i 110
 
5.0%
l 93
 
4.2%
s 92
 
4.2%
r 91
 
4.1%
Other values (41) 629
28.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2215
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
360
16.3%
e 223
 
10.1%
o 190
 
8.6%
t 162
 
7.3%
a 137
 
6.2%
n 128
 
5.8%
i 110
 
5.0%
l 93
 
4.2%
s 92
 
4.2%
r 91
 
4.1%
Other values (41) 629
28.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2215
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
360
16.3%
e 223
 
10.1%
o 190
 
8.6%
t 162
 
7.3%
a 137
 
6.2%
n 128
 
5.8%
i 110
 
5.0%
l 93
 
4.2%
s 92
 
4.2%
r 91
 
4.1%
Other values (41) 629
28.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2215
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
360
16.3%
e 223
 
10.1%
o 190
 
8.6%
t 162
 
7.3%
a 137
 
6.2%
n 128
 
5.8%
i 110
 
5.0%
l 93
 
4.2%
s 92
 
4.2%
r 91
 
4.1%
Other values (41) 629
28.4%

What school district do you attend?
Categorical

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)0.5%
Missing133
Missing (%)10.0%
Memory size106.8 KiB
Kansas City Kansas Public Schools
726 
Kansas City Public Schools
319 
Grandview
117 
Center
 
21
Hickman Mills
 
7

Length

Max length33
Median length33
Mean length28.075188
Min length6

Characters and Unicode

Total characters33606
Distinct characters29
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowHickman Mills
2nd rowKansas City Public Schools
3rd rowGrandview
4th rowKansas City Public Schools
5th rowGrandview

Common Values

ValueCountFrequency (%)
Kansas City Kansas Public Schools 726
54.6%
Kansas City Public Schools 319
24.0%
Grandview 117
 
8.8%
Center 21
 
1.6%
Hickman Mills 7
 
0.5%
Independence 7
 
0.5%
(Missing) 133
 
10.0%

Length

2024-04-05T16:11:50.188888image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-05T16:11:50.315889image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
kansas 1771
35.0%
city 1045
20.6%
public 1045
20.6%
schools 1045
20.6%
grandview 117
 
2.3%
center 21
 
0.4%
hickman 7
 
0.1%
mills 7
 
0.1%
independence 7
 
0.1%

Most occurring characters

ValueCountFrequency (%)
s 4594
13.7%
3868
11.5%
a 3666
10.9%
i 2221
 
6.6%
l 2104
 
6.3%
c 2104
 
6.3%
o 2090
 
6.2%
n 1937
 
5.8%
K 1771
 
5.3%
C 1066
 
3.2%
Other values (19) 8185
24.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 33606
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
s 4594
13.7%
3868
11.5%
a 3666
10.9%
i 2221
 
6.6%
l 2104
 
6.3%
c 2104
 
6.3%
o 2090
 
6.2%
n 1937
 
5.8%
K 1771
 
5.3%
C 1066
 
3.2%
Other values (19) 8185
24.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 33606
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
s 4594
13.7%
3868
11.5%
a 3666
10.9%
i 2221
 
6.6%
l 2104
 
6.3%
c 2104
 
6.3%
o 2090
 
6.2%
n 1937
 
5.8%
K 1771
 
5.3%
C 1066
 
3.2%
Other values (19) 8185
24.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 33606
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
s 4594
13.7%
3868
11.5%
a 3666
10.9%
i 2221
 
6.6%
l 2104
 
6.3%
c 2104
 
6.3%
o 2090
 
6.2%
n 1937
 
5.8%
K 1771
 
5.3%
C 1066
 
3.2%
Other values (19) 8185
24.4%

What grade level are you?
Categorical

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)0.2%
Missing186
Missing (%)14.0%
Memory size88.2 KiB
Middle School
1014 
High School
130 

Length

Max length13
Median length13
Mean length12.772727
Min length11

Characters and Unicode

Total characters14612
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowHigh School
2nd rowHigh School
3rd rowHigh School
4th rowHigh School
5th rowHigh School

Common Values

ValueCountFrequency (%)
Middle School 1014
76.2%
High School 130
 
9.8%
(Missing) 186
 
14.0%

Length

2024-04-05T16:11:50.441887image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-05T16:11:50.556899image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
school 1144
50.0%
middle 1014
44.3%
high 130
 
5.7%

Most occurring characters

ValueCountFrequency (%)
o 2288
15.7%
l 2158
14.8%
d 2028
13.9%
h 1274
8.7%
i 1144
7.8%
1144
7.8%
S 1144
7.8%
c 1144
7.8%
M 1014
6.9%
e 1014
6.9%
Other values (2) 260
 
1.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 14612
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 2288
15.7%
l 2158
14.8%
d 2028
13.9%
h 1274
8.7%
i 1144
7.8%
1144
7.8%
S 1144
7.8%
c 1144
7.8%
M 1014
6.9%
e 1014
6.9%
Other values (2) 260
 
1.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 14612
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 2288
15.7%
l 2158
14.8%
d 2028
13.9%
h 1274
8.7%
i 1144
7.8%
1144
7.8%
S 1144
7.8%
c 1144
7.8%
M 1014
6.9%
e 1014
6.9%
Other values (2) 260
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 14612
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 2288
15.7%
l 2158
14.8%
d 2028
13.9%
h 1274
8.7%
i 1144
7.8%
1144
7.8%
S 1144
7.8%
c 1144
7.8%
M 1014
6.9%
e 1014
6.9%
Other values (2) 260
 
1.8%

What is your race or ethnicity?
Categorical

MISSING 

Distinct9
Distinct (%)0.7%
Missing84
Missing (%)6.3%
Memory size96.4 KiB
Hispanic or Latino
584 
Black or African American
277 
White
161 
Asian
71 
Another race or ethnicity
66 
Other values (4)
87 

Length

Max length41
Median length32
Mean length18.308186
Min length5

Characters and Unicode

Total characters22812
Distinct characters31
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMiddle Eastern or North African
2nd rowHispanic or Latino
3rd rowHispanic or Latino
4th rowHispanic or Latino
5th rowBlack or African American

Common Values

ValueCountFrequency (%)
Hispanic or Latino 584
43.9%
Black or African American 277
20.8%
White 161
 
12.1%
Asian 71
 
5.3%
Another race or ethnicity 66
 
5.0%
Multiracial or Multiethnic 46
 
3.5%
Middle Eastern or North African 24
 
1.8%
Native Hawaiian or other Pacific Islander 9
 
0.7%
Native American or Alaska Native 8
 
0.6%
(Missing) 84
 
6.3%

Length

2024-04-05T16:11:50.658891image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-05T16:11:50.829960image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
or 1014
27.3%
hispanic 584
15.7%
latino 584
15.7%
african 301
 
8.1%
american 285
 
7.7%
black 277
 
7.5%
white 161
 
4.3%
asian 71
 
1.9%
another 66
 
1.8%
race 66
 
1.8%
Other values (12) 299
 
8.1%

Most occurring characters

ValueCountFrequency (%)
i 2971
13.0%
2462
10.8%
a 2370
10.4%
n 2045
9.0%
r 1844
 
8.1%
o 1697
 
7.4%
c 1689
 
7.4%
t 1163
 
5.1%
e 781
 
3.4%
A 731
 
3.2%
Other values (21) 5059
22.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 22812
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 2971
13.0%
2462
10.8%
a 2370
10.4%
n 2045
9.0%
r 1844
 
8.1%
o 1697
 
7.4%
c 1689
 
7.4%
t 1163
 
5.1%
e 781
 
3.4%
A 731
 
3.2%
Other values (21) 5059
22.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 22812
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 2971
13.0%
2462
10.8%
a 2370
10.4%
n 2045
9.0%
r 1844
 
8.1%
o 1697
 
7.4%
c 1689
 
7.4%
t 1163
 
5.1%
e 781
 
3.4%
A 731
 
3.2%
Other values (21) 5059
22.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 22812
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 2971
13.0%
2462
10.8%
a 2370
10.4%
n 2045
9.0%
r 1844
 
8.1%
o 1697
 
7.4%
c 1689
 
7.4%
t 1163
 
5.1%
e 781
 
3.4%
A 731
 
3.2%
Other values (21) 5059
22.2%
Distinct5
Distinct (%)3.9%
Missing1203
Missing (%)90.5%
Memory size74.0 KiB
Agree
53 
Neutral
35 
Strongly Agree
21 
Strongly Disagree
10 
Disagree

Length

Max length17
Median length14
Mean length8.1732283
Min length5

Characters and Unicode

Total characters1038
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree
2nd rowNeutral
3rd rowAgree
4th rowAgree
5th rowStrongly Agree

Common Values

ValueCountFrequency (%)
Agree 53
 
4.0%
Neutral 35
 
2.6%
Strongly Agree 21
 
1.6%
Strongly Disagree 10
 
0.8%
Disagree 8
 
0.6%
(Missing) 1203
90.5%

Length

2024-04-05T16:11:50.993655image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-05T16:11:51.125879image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
agree 74
46.8%
neutral 35
22.2%
strongly 31
19.6%
disagree 18
 
11.4%

Most occurring characters

ValueCountFrequency (%)
e 219
21.1%
r 158
15.2%
g 123
11.8%
A 74
 
7.1%
t 66
 
6.4%
l 66
 
6.4%
a 53
 
5.1%
u 35
 
3.4%
N 35
 
3.4%
S 31
 
3.0%
Other values (7) 178
17.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1038
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 219
21.1%
r 158
15.2%
g 123
11.8%
A 74
 
7.1%
t 66
 
6.4%
l 66
 
6.4%
a 53
 
5.1%
u 35
 
3.4%
N 35
 
3.4%
S 31
 
3.0%
Other values (7) 178
17.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1038
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 219
21.1%
r 158
15.2%
g 123
11.8%
A 74
 
7.1%
t 66
 
6.4%
l 66
 
6.4%
a 53
 
5.1%
u 35
 
3.4%
N 35
 
3.4%
S 31
 
3.0%
Other values (7) 178
17.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1038
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 219
21.1%
r 158
15.2%
g 123
11.8%
A 74
 
7.1%
t 66
 
6.4%
l 66
 
6.4%
a 53
 
5.1%
u 35
 
3.4%
N 35
 
3.4%
S 31
 
3.0%
Other values (7) 178
17.1%
Distinct5
Distinct (%)4.0%
Missing1206
Missing (%)90.7%
Memory size74.0 KiB
Agree
48 
Strongly Agree
31 
Neutral
31 
Disagree
Strongly Disagree

Length

Max length17
Median length14
Mean length8.5241935
Min length5

Characters and Unicode

Total characters1057
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree
2nd rowAgree
3rd rowAgree
4th rowStrongly Agree
5th rowAgree

Common Values

ValueCountFrequency (%)
Agree 48
 
3.6%
Strongly Agree 31
 
2.3%
Neutral 31
 
2.3%
Disagree 8
 
0.6%
Strongly Disagree 6
 
0.5%
(Missing) 1206
90.7%

Length

2024-04-05T16:11:51.248605image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-05T16:11:51.370049image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
agree 79
49.1%
strongly 37
23.0%
neutral 31
 
19.3%
disagree 14
 
8.7%

Most occurring characters

ValueCountFrequency (%)
e 217
20.5%
r 161
15.2%
g 130
12.3%
A 79
 
7.5%
t 68
 
6.4%
l 68
 
6.4%
a 45
 
4.3%
o 37
 
3.5%
n 37
 
3.5%
S 37
 
3.5%
Other values (7) 178
16.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1057
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 217
20.5%
r 161
15.2%
g 130
12.3%
A 79
 
7.5%
t 68
 
6.4%
l 68
 
6.4%
a 45
 
4.3%
o 37
 
3.5%
n 37
 
3.5%
S 37
 
3.5%
Other values (7) 178
16.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1057
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 217
20.5%
r 161
15.2%
g 130
12.3%
A 79
 
7.5%
t 68
 
6.4%
l 68
 
6.4%
a 45
 
4.3%
o 37
 
3.5%
n 37
 
3.5%
S 37
 
3.5%
Other values (7) 178
16.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1057
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 217
20.5%
r 161
15.2%
g 130
12.3%
A 79
 
7.5%
t 68
 
6.4%
l 68
 
6.4%
a 45
 
4.3%
o 37
 
3.5%
n 37
 
3.5%
S 37
 
3.5%
Other values (7) 178
16.8%

I feel confidentpursuing a careerthat I am interestedin.
Categorical

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)4.0%
Missing1204
Missing (%)90.5%
Memory size74.1 KiB
Agree
43 
Strongly Agree
37 
Neutral
35 
Strongly Disagree
Disagree
 
4

Length

Max length17
Median length14
Mean length8.9603175
Min length5

Characters and Unicode

Total characters1129
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree
2nd rowNeutral
3rd rowAgree
4th rowNeutral
5th rowNeutral

Common Values

ValueCountFrequency (%)
Agree 43
 
3.2%
Strongly Agree 37
 
2.8%
Neutral 35
 
2.6%
Strongly Disagree 7
 
0.5%
Disagree 4
 
0.3%
(Missing) 1204
90.5%

Length

2024-04-05T16:11:51.489517image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-05T16:11:51.609836image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
agree 80
47.1%
strongly 44
25.9%
neutral 35
20.6%
disagree 11
 
6.5%

Most occurring characters

ValueCountFrequency (%)
e 217
19.2%
r 170
15.1%
g 135
12.0%
A 80
 
7.1%
t 79
 
7.0%
l 79
 
7.0%
a 46
 
4.1%
o 44
 
3.9%
n 44
 
3.9%
S 44
 
3.9%
Other values (7) 191
16.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1129
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 217
19.2%
r 170
15.1%
g 135
12.0%
A 80
 
7.1%
t 79
 
7.0%
l 79
 
7.0%
a 46
 
4.1%
o 44
 
3.9%
n 44
 
3.9%
S 44
 
3.9%
Other values (7) 191
16.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1129
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 217
19.2%
r 170
15.1%
g 135
12.0%
A 80
 
7.1%
t 79
 
7.0%
l 79
 
7.0%
a 46
 
4.1%
o 44
 
3.9%
n 44
 
3.9%
S 44
 
3.9%
Other values (7) 191
16.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1129
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 217
19.2%
r 170
15.1%
g 135
12.0%
A 80
 
7.1%
t 79
 
7.0%
l 79
 
7.0%
a 46
 
4.1%
o 44
 
3.9%
n 44
 
3.9%
S 44
 
3.9%
Other values (7) 191
16.9%

I feel prepared forthe future.
Categorical

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)3.9%
Missing1203
Missing (%)90.5%
Memory size74.0 KiB
Neutral
43 
Agree
40 
Strongly Agree
18 
Disagree
17 
Strongly Disagree

Length

Max length17
Median length14
Mean length8.2047244
Min length5

Characters and Unicode

Total characters1042
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree
2nd rowDisagree
3rd rowAgree
4th rowDisagree
5th rowAgree

Common Values

ValueCountFrequency (%)
Neutral 43
 
3.2%
Agree 40
 
3.0%
Strongly Agree 18
 
1.4%
Disagree 17
 
1.3%
Strongly Disagree 9
 
0.7%
(Missing) 1203
90.5%

Length

2024-04-05T16:11:51.726819image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-05T16:11:51.860922image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
agree 58
37.7%
neutral 43
27.9%
strongly 27
17.5%
disagree 26
16.9%

Most occurring characters

ValueCountFrequency (%)
e 211
20.2%
r 154
14.8%
g 111
10.7%
t 70
 
6.7%
l 70
 
6.7%
a 69
 
6.6%
A 58
 
5.6%
N 43
 
4.1%
u 43
 
4.1%
S 27
 
2.6%
Other values (7) 186
17.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1042
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 211
20.2%
r 154
14.8%
g 111
10.7%
t 70
 
6.7%
l 70
 
6.7%
a 69
 
6.6%
A 58
 
5.6%
N 43
 
4.1%
u 43
 
4.1%
S 27
 
2.6%
Other values (7) 186
17.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1042
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 211
20.2%
r 154
14.8%
g 111
10.7%
t 70
 
6.7%
l 70
 
6.7%
a 69
 
6.6%
A 58
 
5.6%
N 43
 
4.1%
u 43
 
4.1%
S 27
 
2.6%
Other values (7) 186
17.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1042
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 211
20.2%
r 154
14.8%
g 111
10.7%
t 70
 
6.7%
l 70
 
6.7%
a 69
 
6.6%
A 58
 
5.6%
N 43
 
4.1%
u 43
 
4.1%
S 27
 
2.6%
Other values (7) 186
17.9%

Go to a 2-yearcollege to earn anAssociate's degree
Categorical

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)4.0%
Missing1206
Missing (%)90.7%
Memory size74.0 KiB
Neutral
41 
Agree
38 
Strongly Disagree
18 
Strongly Agree
15 
Disagree
12 

Length

Max length17
Median length14
Mean length8.7822581
Min length5

Characters and Unicode

Total characters1089
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowAgree
3rd rowAgree
4th rowNeutral
5th rowAgree

Common Values

ValueCountFrequency (%)
Neutral 41
 
3.1%
Agree 38
 
2.9%
Strongly Disagree 18
 
1.4%
Strongly Agree 15
 
1.1%
Disagree 12
 
0.9%
(Missing) 1206
90.7%

Length

2024-04-05T16:11:52.060008image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-05T16:11:52.250035image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
agree 53
33.8%
neutral 41
26.1%
strongly 33
21.0%
disagree 30
19.1%

Most occurring characters

ValueCountFrequency (%)
e 207
19.0%
r 157
14.4%
g 116
10.7%
t 74
 
6.8%
l 74
 
6.8%
a 71
 
6.5%
A 53
 
4.9%
N 41
 
3.8%
u 41
 
3.8%
S 33
 
3.0%
Other values (7) 222
20.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1089
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 207
19.0%
r 157
14.4%
g 116
10.7%
t 74
 
6.8%
l 74
 
6.8%
a 71
 
6.5%
A 53
 
4.9%
N 41
 
3.8%
u 41
 
3.8%
S 33
 
3.0%
Other values (7) 222
20.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1089
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 207
19.0%
r 157
14.4%
g 116
10.7%
t 74
 
6.8%
l 74
 
6.8%
a 71
 
6.5%
A 53
 
4.9%
N 41
 
3.8%
u 41
 
3.8%
S 33
 
3.0%
Other values (7) 222
20.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1089
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 207
19.0%
r 157
14.4%
g 116
10.7%
t 74
 
6.8%
l 74
 
6.8%
a 71
 
6.5%
A 53
 
4.9%
N 41
 
3.8%
u 41
 
3.8%
S 33
 
3.0%
Other values (7) 222
20.4%

Go to a 4-yearcollege to earn anBachelor's degree
Categorical

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)3.9%
Missing1203
Missing (%)90.5%
Memory size74.1 KiB
Agree
46 
Strongly Agree
34 
Neutral
30 
Strongly Disagree
12 
Disagree

Length

Max length17
Median length14
Mean length9.1338583
Min length5

Characters and Unicode

Total characters1160
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowStrongly Agree
2nd rowNeutral
3rd rowAgree
4th rowStrongly Agree
5th rowNeutral

Common Values

ValueCountFrequency (%)
Agree 46
 
3.5%
Strongly Agree 34
 
2.6%
Neutral 30
 
2.3%
Strongly Disagree 12
 
0.9%
Disagree 5
 
0.4%
(Missing) 1203
90.5%

Length

2024-04-05T16:11:52.571595image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-05T16:11:52.738719image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
agree 80
46.2%
strongly 46
26.6%
neutral 30
 
17.3%
disagree 17
 
9.8%

Most occurring characters

ValueCountFrequency (%)
e 224
19.3%
r 173
14.9%
g 143
12.3%
A 80
 
6.9%
t 76
 
6.6%
l 76
 
6.6%
a 47
 
4.1%
o 46
 
4.0%
n 46
 
4.0%
S 46
 
4.0%
Other values (7) 203
17.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1160
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 224
19.3%
r 173
14.9%
g 143
12.3%
A 80
 
6.9%
t 76
 
6.6%
l 76
 
6.6%
a 47
 
4.1%
o 46
 
4.0%
n 46
 
4.0%
S 46
 
4.0%
Other values (7) 203
17.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1160
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 224
19.3%
r 173
14.9%
g 143
12.3%
A 80
 
6.9%
t 76
 
6.6%
l 76
 
6.6%
a 47
 
4.1%
o 46
 
4.0%
n 46
 
4.0%
S 46
 
4.0%
Other values (7) 203
17.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1160
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 224
19.3%
r 173
14.9%
g 143
12.3%
A 80
 
6.9%
t 76
 
6.6%
l 76
 
6.6%
a 47
 
4.1%
o 46
 
4.0%
n 46
 
4.0%
S 46
 
4.0%
Other values (7) 203
17.5%
Distinct5
Distinct (%)4.2%
Missing1210
Missing (%)91.0%
Memory size74.1 KiB
Neutral
45 
Disagree
19 
Strongly Disagree
19 
Agree
19 
Strongly Agree
18 

Length

Max length17
Median length14
Mean length9.475
Min length5

Characters and Unicode

Total characters1137
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDisagree
2nd rowStrongly Agree
3rd rowNeutral
4th rowNeutral
5th rowStrongly Agree

Common Values

ValueCountFrequency (%)
Neutral 45
 
3.4%
Disagree 19
 
1.4%
Strongly Disagree 19
 
1.4%
Agree 19
 
1.4%
Strongly Agree 18
 
1.4%
(Missing) 1210
91.0%

Length

2024-04-05T16:11:52.916596image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-05T16:11:53.078160image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
neutral 45
28.7%
disagree 38
24.2%
strongly 37
23.6%
agree 37
23.6%

Most occurring characters

ValueCountFrequency (%)
e 195
17.2%
r 157
13.8%
g 112
9.9%
a 83
 
7.3%
t 82
 
7.2%
l 82
 
7.2%
N 45
 
4.0%
u 45
 
4.0%
s 38
 
3.3%
i 38
 
3.3%
Other values (7) 260
22.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1137
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 195
17.2%
r 157
13.8%
g 112
9.9%
a 83
 
7.3%
t 82
 
7.2%
l 82
 
7.2%
N 45
 
4.0%
u 45
 
4.0%
s 38
 
3.3%
i 38
 
3.3%
Other values (7) 260
22.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1137
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 195
17.2%
r 157
13.8%
g 112
9.9%
a 83
 
7.3%
t 82
 
7.2%
l 82
 
7.2%
N 45
 
4.0%
u 45
 
4.0%
s 38
 
3.3%
i 38
 
3.3%
Other values (7) 260
22.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1137
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 195
17.2%
r 157
13.8%
g 112
9.9%
a 83
 
7.3%
t 82
 
7.2%
l 82
 
7.2%
N 45
 
4.0%
u 45
 
4.0%
s 38
 
3.3%
i 38
 
3.3%
Other values (7) 260
22.9%

Get a part-time job
Categorical

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)4.1%
Missing1209
Missing (%)90.9%
Memory size73.9 KiB
Agree
53 
Neutral
27 
Strongly Agree
24 
Disagree
10 
Strongly Disagree

Length

Max length17
Median length14
Mean length8.1735537
Min length5

Characters and Unicode

Total characters989
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDisagree
2nd rowAgree
3rd rowAgree
4th rowAgree
5th rowNeutral

Common Values

ValueCountFrequency (%)
Agree 53
 
4.0%
Neutral 27
 
2.0%
Strongly Agree 24
 
1.8%
Disagree 10
 
0.8%
Strongly Disagree 7
 
0.5%
(Missing) 1209
90.9%

Length

2024-04-05T16:11:53.216783image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-05T16:11:53.339608image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
agree 77
50.7%
strongly 31
20.4%
neutral 27
 
17.8%
disagree 17
 
11.2%

Most occurring characters

ValueCountFrequency (%)
e 215
21.7%
r 152
15.4%
g 125
12.6%
A 77
 
7.8%
t 58
 
5.9%
l 58
 
5.9%
a 44
 
4.4%
S 31
 
3.1%
o 31
 
3.1%
n 31
 
3.1%
Other values (7) 167
16.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 989
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 215
21.7%
r 152
15.4%
g 125
12.6%
A 77
 
7.8%
t 58
 
5.9%
l 58
 
5.9%
a 44
 
4.4%
S 31
 
3.1%
o 31
 
3.1%
n 31
 
3.1%
Other values (7) 167
16.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 989
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 215
21.7%
r 152
15.4%
g 125
12.6%
A 77
 
7.8%
t 58
 
5.9%
l 58
 
5.9%
a 44
 
4.4%
S 31
 
3.1%
o 31
 
3.1%
n 31
 
3.1%
Other values (7) 167
16.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 989
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 215
21.7%
r 152
15.4%
g 125
12.6%
A 77
 
7.8%
t 58
 
5.9%
l 58
 
5.9%
a 44
 
4.4%
S 31
 
3.1%
o 31
 
3.1%
n 31
 
3.1%
Other values (7) 167
16.9%

Get a full-time job
Categorical

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)4.2%
Missing1210
Missing (%)91.0%
Memory size74.1 KiB
Neutral
34 
Strongly Agree
33 
Agree
32 
Strongly Disagree
12 
Disagree

Length

Max length17
Median length14
Mean length9.4666667
Min length5

Characters and Unicode

Total characters1136
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDisagree
2nd rowNeutral
3rd rowNeutral
4th rowNeutral
5th rowStrongly Agree

Common Values

ValueCountFrequency (%)
Neutral 34
 
2.6%
Strongly Agree 33
 
2.5%
Agree 32
 
2.4%
Strongly Disagree 12
 
0.9%
Disagree 9
 
0.7%
(Missing) 1210
91.0%

Length

2024-04-05T16:11:53.482583image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-05T16:11:53.625691image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
agree 65
39.4%
strongly 45
27.3%
neutral 34
20.6%
disagree 21
 
12.7%

Most occurring characters

ValueCountFrequency (%)
e 206
18.1%
r 165
14.5%
g 131
11.5%
t 79
 
7.0%
l 79
 
7.0%
A 65
 
5.7%
a 55
 
4.8%
o 45
 
4.0%
45
 
4.0%
S 45
 
4.0%
Other values (7) 221
19.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1136
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 206
18.1%
r 165
14.5%
g 131
11.5%
t 79
 
7.0%
l 79
 
7.0%
A 65
 
5.7%
a 55
 
4.8%
o 45
 
4.0%
45
 
4.0%
S 45
 
4.0%
Other values (7) 221
19.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1136
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 206
18.1%
r 165
14.5%
g 131
11.5%
t 79
 
7.0%
l 79
 
7.0%
A 65
 
5.7%
a 55
 
4.8%
o 45
 
4.0%
45
 
4.0%
S 45
 
4.0%
Other values (7) 221
19.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1136
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 206
18.1%
r 165
14.5%
g 131
11.5%
t 79
 
7.0%
l 79
 
7.0%
A 65
 
5.7%
a 55
 
4.8%
o 45
 
4.0%
45
 
4.0%
S 45
 
4.0%
Other values (7) 221
19.5%
Distinct635
Distinct (%)74.7%
Missing480
Missing (%)36.1%
Memory size114.1 KiB
2024-04-05T16:11:53.938775image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Length

Max length547
Median length150
Mean length42.875294
Min length1

Characters and Unicode

Total characters36444
Distinct characters134
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique578 ?
Unique (%)68.0%

Sample

1st rowThank you guys so much I learned a lot and I hope to see you guys again and learn more things
2nd rowI would like to say thank you to all the volunteers that were at todays field trip and I appreciate them taking time out of their day to help us and inform us of different career paths. I would also like to personally thank Mr.Levi for the help he gave us on our group activity and Anthony for talking about the different games his colleague's worked on.
3rd rowThank you very much for providing the expirence we had today and making it interseting and easy to comprehend.
4th rowThank you!
5th rowThe experience was good I liked how we were hands on.
ValueCountFrequency (%)
you 594
 
8.2%
thank 546
 
7.5%
for 388
 
5.4%
i 257
 
3.5%
and 236
 
3.3%
to 230
 
3.2%
your 172
 
2.4%
the 159
 
2.2%
us 155
 
2.1%
about 126
 
1.7%
Other values (828) 4385
60.5%
2024-04-05T16:11:54.425787image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6415
17.6%
o 2895
 
7.9%
e 2738
 
7.5%
a 2398
 
6.6%
n 2127
 
5.8%
t 1969
 
5.4%
h 1621
 
4.4%
r 1619
 
4.4%
u 1593
 
4.4%
i 1391
 
3.8%
Other values (124) 11678
32.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 36444
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
6415
17.6%
o 2895
 
7.9%
e 2738
 
7.5%
a 2398
 
6.6%
n 2127
 
5.8%
t 1969
 
5.4%
h 1621
 
4.4%
r 1619
 
4.4%
u 1593
 
4.4%
i 1391
 
3.8%
Other values (124) 11678
32.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 36444
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
6415
17.6%
o 2895
 
7.9%
e 2738
 
7.5%
a 2398
 
6.6%
n 2127
 
5.8%
t 1969
 
5.4%
h 1621
 
4.4%
r 1619
 
4.4%
u 1593
 
4.4%
i 1391
 
3.8%
Other values (124) 11678
32.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 36444
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
6415
17.6%
o 2895
 
7.9%
e 2738
 
7.5%
a 2398
 
6.6%
n 2127
 
5.8%
t 1969
 
5.4%
h 1621
 
4.4%
r 1619
 
4.4%
u 1593
 
4.4%
i 1391
 
3.8%
Other values (124) 11678
32.0%
Distinct622
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Memory size91.7 KiB
2024-04-05T16:11:54.633623image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Length

Max length29
Median length14
Mean length13.476692
Min length6

Characters and Unicode

Total characters17924
Distinct characters23
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique308 ?
Unique (%)23.2%

Sample

1st row3 days 11 hr. 46 min. 39 sec.
2nd row5 min. 21 sec.
3rd row8 min. 6 sec.
4th row6 min. 13 sec.
5th row17 hr. 42 min. 41 sec.
ValueCountFrequency (%)
sec 1308
25.4%
min 1236
24.0%
2 239
 
4.6%
3 234
 
4.6%
1 215
 
4.2%
4 179
 
3.5%
5 137
 
2.7%
6 108
 
2.1%
8 61
 
1.2%
7 54
 
1.1%
Other values (53) 1369
26.6%
2024-04-05T16:11:54.982178image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3810
21.3%
. 2569
14.3%
s 1309
 
7.3%
e 1308
 
7.3%
c 1308
 
7.3%
m 1236
 
6.9%
i 1236
 
6.9%
n 1236
 
6.9%
1 662
 
3.7%
2 611
 
3.4%
Other values (13) 2639
14.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 17924
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3810
21.3%
. 2569
14.3%
s 1309
 
7.3%
e 1308
 
7.3%
c 1308
 
7.3%
m 1236
 
6.9%
i 1236
 
6.9%
n 1236
 
6.9%
1 662
 
3.7%
2 611
 
3.4%
Other values (13) 2639
14.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 17924
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3810
21.3%
. 2569
14.3%
s 1309
 
7.3%
e 1308
 
7.3%
c 1308
 
7.3%
m 1236
 
6.9%
i 1236
 
6.9%
n 1236
 
6.9%
1 662
 
3.7%
2 611
 
3.4%
Other values (13) 2639
14.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 17924
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3810
21.3%
. 2569
14.3%
s 1309
 
7.3%
e 1308
 
7.3%
c 1308
 
7.3%
m 1236
 
6.9%
i 1236
 
6.9%
n 1236
 
6.9%
1 662
 
3.7%
2 611
 
3.4%
Other values (13) 2639
14.7%

Correlations

2024-04-05T16:11:55.139674image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
After meeting withprofessionals, I amexcited for myfuture.As a result of thisexperience, I amthinking about myplans for after highschool.Get a certificate orlicense for a trade(welding, electrician,plumbing, airconditioning, automechanic, etc.)Get a full-time jobGet a part-time jobGo to a 2-yearcollege to earn anAssociate's degreeGo to a 4-yearcollege to earn anBachelor's degreeI feel confidentovercomingchallenges to reachmy goals.I feel confidentpursuing a careerthat I am interestedin.I feel prepared forthe future.I felt included at thisexperienceI felt respected bythe adults at thisexperienceI learned somethingabout a career atthis experience thatI did not knowbefore?Presenter Name and Session TitleThis experiencehelped meunderstand howschool prepares mefor the future.This experiencehelped meunderstand what Iwant (or don’t want)to do after highschoolWhat did you like about this experience?What grade level are you?What is your race or ethnicity?What school district do you attend?
After meeting withprofessionals, I amexcited for myfuture.1.0000.6130.2980.2080.2750.2230.3190.3320.4840.3690.3370.3000.3080.1130.3320.3910.1480.0000.0390.000
As a result of thisexperience, I amthinking about myplans for after highschool.0.6131.0000.2910.2440.3080.2460.2860.4370.4770.3830.4530.4510.3710.3040.5950.4900.0741.0000.0000.021
Get a certificate orlicense for a trade(welding, electrician,plumbing, airconditioning, automechanic, etc.)0.2980.2911.0000.2560.2600.3570.1870.1570.2010.2750.1870.2000.1950.0000.2410.2030.0001.0000.2030.060
Get a full-time job0.2080.2440.2561.0000.2990.2330.2450.2990.2220.1190.2540.2640.1950.1770.2100.3400.0531.0000.2310.099
Get a part-time job0.2750.3080.2600.2991.0000.3620.3180.3570.2760.2490.3320.4160.2740.1440.3420.2420.1231.0000.0000.171
Go to a 2-yearcollege to earn anAssociate's degree0.2230.2460.3570.2330.3621.0000.3060.1510.1880.2110.2830.2550.1870.1960.3090.2180.0491.0000.0000.000
Go to a 4-yearcollege to earn anBachelor's degree0.3190.2860.1870.2450.3180.3061.0000.3110.2920.2200.2330.3410.1340.0880.2700.2590.0001.0000.0640.097
I feel confidentovercomingchallenges to reachmy goals.0.3320.4370.1570.2990.3570.1510.3111.0000.4690.4040.3010.3240.2980.0910.3630.3940.1250.0460.0740.000
I feel confidentpursuing a careerthat I am interestedin.0.4840.4770.2010.2220.2760.1880.2920.4691.0000.3960.3920.4530.3250.3060.4760.4620.0591.0000.0760.000
I feel prepared forthe future.0.3690.3830.2750.1190.2490.2110.2200.4040.3961.0000.3100.3220.3120.1550.4310.3910.1331.0000.1650.096
I felt included at thisexperience0.3370.4530.1870.2540.3320.2830.2330.3010.3920.3101.0000.3460.3100.1450.3280.4570.1450.0680.0710.040
I felt respected bythe adults at thisexperience0.3000.4510.2000.2640.4160.2550.3410.3240.4530.3220.3461.0000.3610.1290.3570.4070.1590.0670.0810.000
I learned somethingabout a career atthis experience thatI did not knowbefore?0.3080.3710.1950.1950.2740.1870.1340.2980.3250.3120.3100.3611.0000.1390.3230.3760.1540.0000.1200.057
Presenter Name and Session Title0.1130.3040.0000.1770.1440.1960.0880.0910.3060.1550.1450.1290.1391.0000.1020.1510.1670.8830.1790.629
This experiencehelped meunderstand howschool prepares mefor the future.0.3320.5950.2410.2100.3420.3090.2700.3630.4760.4310.3280.3570.3230.1021.0000.4400.1440.0000.0620.000
This experiencehelped meunderstand what Iwant (or don’t want)to do after highschool0.3910.4900.2030.3400.2420.2180.2590.3940.4620.3910.4570.4070.3760.1510.4401.0000.0001.0000.1130.000
What did you like about this experience?0.1480.0740.0000.0530.1230.0490.0000.1250.0590.1330.1450.1590.1540.1670.1440.0001.0000.1620.0840.093
What grade level are you?0.0001.0001.0001.0001.0001.0001.0000.0461.0001.0000.0680.0670.0000.8830.0001.0000.1621.0000.0760.261
What is your race or ethnicity?0.0390.0000.2030.2310.0000.0000.0640.0740.0760.1650.0710.0810.1200.1790.0620.1130.0840.0761.0000.135
What school district do you attend?0.0000.0210.0600.0990.1710.0000.0970.0000.0000.0960.0400.0000.0570.6290.0000.0000.0930.2610.1351.000

Missing values

2024-04-05T16:11:41.359839image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-05T16:11:42.285267image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-04-05T16:11:43.174657image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Presenter Name and Session TitleWhat did you like about this experience?Other (Please Specify)How could this experience be better for next timeOther (Please Specify).1I learned somethingabout a career atthis experience thatI did not knowbefore?This experiencehelped meunderstand howschool prepares mefor the future.After meeting withprofessionals, I amexcited for myfuture.I feel confidentovercomingchallenges to reachmy goals.I felt included at thisexperienceI felt respected bythe adults at thisexperienceWhat is one thing you learned at this experience that changed how you think about your future?What kinds of help do you want from your teachers or your school? (select all that apply)?Other (Please Specify).2What school district do you attend?What grade level are you?What is your race or ethnicity?This experiencehelped meunderstand what Iwant (or don’t want)to do after highschoolAs a result of thisexperience, I amthinking about myplans for after highschool.I feel confidentpursuing a careerthat I am interestedin.I feel prepared forthe future.Go to a 2-yearcollege to earn anAssociate's degreeGo to a 4-yearcollege to earn anBachelor's degreeGet a certificate orlicense for a trade(welding, electrician,plumbing, airconditioning, automechanic, etc.)Get a part-time jobGet a full-time jobVolunteers love hearing feedback from you! Please leave a thank you note for today'svolunteersCompletion Time
0HNTB Visit 2/27Partipating in hands-on experiencesNaNParticipating in hands-on experiencesNaNNeutralNeutralAgreeNeutralAgreeStrongly AgreeTo explore and not stick to one majorTalking to someone with a career that interests youNaNHickman MillsHigh SchoolMiddle Eastern or North AfricanAgreeAgreeAgreeAgreeNeutralStrongly AgreeDisagreeDisagreeDisagreeThank you guys so much I learned a lot and I hope to see you guys again and learn more things3 days 11 hr. 46 min. 39 sec.
1HNTB Visit 2/27Exploring Careers,Meeting Professionals,Partipating in hands-on experiencesNaNMore variety in careers represented,Participating in hands-on experiencesNaNStrongly AgreeAgreeNeutralNeutralAgreeNaNI learned that there are many things that go into engineering and that technology has helped many people with their jobs.Talking to someone with a career that interests you,Visiting a company to see professionals in action and what it is like at that job,Learning about your options after high school graduation (for example: community college, university, certification programs, military/police, entering a job),Working on a project to see how what you’re learning about can be applied to everyday lifeNaNNaNHigh SchoolHispanic or LatinoNeutralAgreeNeutralDisagreeAgreeNeutralStrongly AgreeAgreeNeutralNaN5 min. 21 sec.
2HNTB Visit 2/27Exploring Careers,Meeting ProfessionalsNaNParticipating in hands-on experiencesNaNAgreeAgreeAgreeAgreeAgreeAgreeYou can find a job and get hired outside of your major.Learning about a variety of careersNaNKansas City Public SchoolsHigh SchoolHispanic or LatinoAgreeAgreeAgreeAgreeAgreeAgreeNeutralAgreeNeutralNaN8 min. 6 sec.
3HNTB Visit 2/27Exploring Careers,Meeting ProfessionalsNaNMore time with professionalsNaNAgreeNeutralStrongly AgreeAgreeAgreeStrongly AgreeI learned that you can work for a game compony and end up at HNTBLearning about a variety of careers,Talking to someone with a career that interests you,Visiting a company to see professionals in action and what it is like at that job,Seeing what it would be like to be a college student by visiting a college campus,Practicing the skills I need to get a great jobNaNGrandviewHigh SchoolHispanic or LatinoAgreeStrongly AgreeNeutralDisagreeNeutralStrongly AgreeNeutralAgreeNeutralNaN6 min. 13 sec.
4HNTB Visit 2/27Meeting ProfessionalsNaNMore time with professionals,More variety in careers representedNaNStrongly AgreeAgreeAgreeAgreeStrongly AgreeStrongly AgreeNaNLearning about a variety of careers,Talking to someone with a career that interests you,Visiting a company to see professionals in action and what it is like at that job,Working on a project to see how what you’re learning about can be applied to everyday life,Spending time working on what my plans for after high school are,Practicing the skills I need to get a great jobNaNNaNHigh SchoolBlack or African AmericanStrongly AgreeAgreeNeutralAgreeAgreeNeutralStrongly AgreeNeutralStrongly AgreeI would like to say thank you to all the volunteers that were at todays field trip and I appreciate them taking time out of their day to help us and inform us of different career paths. I would also like to personally thank Mr.Levi for the help he gave us on our group activity and Anthony for talking about the different games his colleague's worked on.17 hr. 42 min. 41 sec.
5HNTB Visit 2/27Exploring Careers,Meeting ProfessionalsNaNParticipating in hands-on experiencesNaNAgreeNeutralAgreeAgreeAgreeNeutralthat even though you get a degree in a specific field you can transition at anytime to another.Talking to someone with a career that interests youNaNKansas City Public SchoolsNaNHispanic or LatinoNaNNaNNaNNaNNaNNaNNaNNaNNaNThank you very much for providing the expirence we had today and making it interseting and easy to comprehend.6 hr. 54 min. 22 sec.
6Grandview High School Career FairNaNNaNNaNNaNNeutralNeutralNeutralNeutralNeutralNeutralNaNTalking to someone with a career that interests you,Visiting a company to see professionals in action and what it is like at that job,Seeing what it would be like to be a college student by visiting a college campus,Learning about your options after high school graduation (for example: community college, university, certification programs, military/police, entering a job),Spending time working on what my plans for after high school areNaNGrandviewHigh SchoolBlack or African AmericanDisagreeNeutralAgreeNeutralStrongly DisagreeStrongly AgreeStrongly AgreeStrongly AgreeNaNThank you!4 min. 32 sec.
7HNTB Visit 2/27Partipating in hands-on experiencesNaNMore variety in careers represented,Participating in hands-on experiencesNaNAgreeNeutralAgreeAgreeAgreeStrongly AgreeThat putting your life at risk could also be fun.Talking to someone with a career that interests you,Learning about your options after high school graduation (for example: community college, university, certification programs, military/police, entering a job),Spending time working on what my plans for after high school areNaNNaNHigh SchoolBlack or African AmericanNeutralStrongly AgreeStrongly AgreeAgreeStrongly AgreeDisagreeStrongly AgreeNeutralStrongly AgreeThe experience was good I liked how we were hands on.1 hr. 33 min. 36 sec.
8HNTB Visit 2/27Exploring CareersNaNMore variety in careers represented,Participating in hands-on experiencesMore ways to engage the students?Strongly AgreeNeutralNeutralNeutralDisagreeStrongly AgreeGraphic designers and animators can find jobs in places that help out with infrastructure.Visiting a company to see professionals in action and what it is like at that job,Seeing what it would be like to be a college student by visiting a college campus,Learning about your options after high school graduation (for example: community college, university, certification programs, military/police, entering a job),Working on a project to see how what you’re learning about can be applied to everyday life,Spending time working on what my plans for after high school areNaNKansas City Public SchoolsHigh SchoolWhiteDisagreeAgreeAgreeStrongly DisagreeAgreeAgreeStrongly DisagreeAgreeAgreeEveryone was very kind and down to earth.3 min. 33 sec.
9HNTB Visit 2/27Exploring CareersNaNParticipating in hands-on experiencesNaNStrongly AgreeNeutralAgreeAgreeStrongly AgreeStrongly AgreeOne thing I learned at this experience that changed how I think about my future is that there are many different career options for one degree.Learning about a variety of careers,Talking to someone with a career that interests you,Visiting a company to see professionals in action and what it is like at that job,Seeing what it would be like to be a college student by visiting a college campus,Learning about your options after high school graduation (for example: community college, university, certification programs, military/police, entering a job)NaNNaNHigh SchoolHispanic or LatinoAgreeAgreeAgreeNeutralDisagreeStrongly AgreeDisagreeAgreeNeutralThank you so much? I really enjoyed the experience!5 min. 10 sec.
Presenter Name and Session TitleWhat did you like about this experience?Other (Please Specify)How could this experience be better for next timeOther (Please Specify).1I learned somethingabout a career atthis experience thatI did not knowbefore?This experiencehelped meunderstand howschool prepares mefor the future.After meeting withprofessionals, I amexcited for myfuture.I feel confidentovercomingchallenges to reachmy goals.I felt included at thisexperienceI felt respected bythe adults at thisexperienceWhat is one thing you learned at this experience that changed how you think about your future?What kinds of help do you want from your teachers or your school? (select all that apply)?Other (Please Specify).2What school district do you attend?What grade level are you?What is your race or ethnicity?This experiencehelped meunderstand what Iwant (or don’t want)to do after highschoolAs a result of thisexperience, I amthinking about myplans for after highschool.I feel confidentpursuing a careerthat I am interestedin.I feel prepared forthe future.Go to a 2-yearcollege to earn anAssociate's degreeGo to a 4-yearcollege to earn anBachelor's degreeGet a certificate orlicense for a trade(welding, electrician,plumbing, airconditioning, automechanic, etc.)Get a part-time jobGet a full-time jobVolunteers love hearing feedback from you! Please leave a thank you note for today'svolunteersCompletion Time
1320Argentine Middle School Career Speakers - 7th GradeExploring Careers,Meeting ProfessionalsNaNLess time with professionalsNaNNeutralAgreeAgreeDisagreeAgreeStrongly AgreeI hope I can make my goalsLearning about a variety of careers,Seeing what it would be like to be a college student by visiting a college campus,Learning about your options after high school graduation (for example: community college, university, certification programs, military/police, entering a job)NaNKansas City Kansas Public SchoolsMiddle SchoolHispanic or LatinoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN2 min. 11 sec.
1321Argentine Middle School Career Speakers - 7th GradeMeeting ProfessionalsNaNNo changes, I liked it how it wasNaNAgreeAgreeAgreeAgreeAgreeAgreeYou can change your careerLearning about a variety of careers,Talking to someone with a career that interests you,Seeing what it would be like to be a college student by visiting a college campus,Learning about your options after high school graduation (for example: community college, university, certification programs, military/police, entering a job),Practicing the skills I need to get a great jobNaNKansas City Kansas Public SchoolsMiddle SchoolHispanic or LatinoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN2 min.
1322Argentine Middle School Career Speakers - 7th GradeExploring CareersNaNMore time with professionalsNaNStrongly DisagreeStrongly DisagreeStrongly DisagreeStrongly DisagreeStrongly DisagreeStrongly DisagreeYou can teach any class you want if you are a teacher.Seeing what it would be like to be a college student by visiting a college campusNoKansas City Kansas Public SchoolsMiddle SchoolBlack or African AmericanNaNNaNNaNNaNNaNNaNNaNNaNNaNThank you2 min. 36 sec.
1323Argentine Middle School Career Speakers - 7th GradeExploring CareersNaNMore variety in careers representedNaNAgreeNeutralNeutralNeutralNeutralNeutralThere are good paying jobs even without a college degreeVisiting a company to see professionals in action and what it is like at that jobNaNKansas City Kansas Public SchoolsMiddle SchoolMultiracial or MultiethnicNaNNaNNaNNaNNaNNaNNaNNaNNaNGreat.3 min. 24 sec.
1324Argentine Middle School Career Speakers - 7th GradeExploring Careers,Meeting Professionals,Partipating in hands-on experiencesIt’s was just a chill class and cool experinceNo changes, I liked it how it wasNaNAgreeNeutralNeutralStrongly AgreeAgreeStrongly AgreeI learned new things about jobs/careers I never heard and seen beforeLearning about a variety of careers,Talking to someone with a career that interests you,Visiting a company to see professionals in action and what it is like at that job,Seeing what it would be like to be a college student by visiting a college campus,Learning about your options after high school graduation (for example: community college, university, certification programs, military/police, entering a job),Working on a project to see how what you’re learning about can be applied to everyday life,Spending time working on what my plans for after high school are,Practicing the skills I need to get a great jobNaNKansas City Kansas Public SchoolsMiddle SchoolHispanic or LatinoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN2 min. 40 sec.
1325Argentine Middle School Career Speakers - 7th GradeExploring CareersNaNLess time with professionals,More variety in careers representedLike people in the medical field should comeNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1 min. 3 sec.
1326Argentine Middle School Career Speakers - 7th GradeExploring Careers,Meeting Professionals,Partipating in hands-on experiencesNaNNo changes, I liked it how it wasNaNAgreeStrongly AgreeDisagreeAgreeAgreeStrongly AgreeNaNTalking to someone with a career that interests you,Visiting a company to see professionals in action and what it is like at that job,Learning about your options after high school graduation (for example: community college, university, certification programs, military/police, entering a job)NaNKansas City Kansas Public SchoolsMiddle SchoolHispanic or LatinoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN2 min. 33 sec.
1327Argentine Middle School Career Speakers - 7th GradeNot sure / None of the AboveNaNMore time with professionalsNaNNeutralDisagreeStrongly DisagreeStrongly DisagreeStrongly DisagreeNeutralI think that careers are nothing I am really not interested in so I don’t want to do these careersPracticing the skills I need to get a great jobNaNKansas City Kansas Public SchoolsNaNHispanic or LatinoNaNNaNNaNNaNNaNNaNNaNNaNNaNThank you1 min. 38 sec.
1328Argentine Middle School Career Speakers - 7th GradeNot sure / None of the AboveNaNMore time with professionalsNaNAgreeStrongly AgreeNeutralNeutralNeutralAgreeThat there is a lot of jobs that match what I like and there’s a lot of options after high school.Learning about a variety of careers,Talking to someone with a career that interests you,Seeing what it would be like to be a college student by visiting a college campus,Spending time working on what my plans for after high school are,Practicing the skills I need to get a great jobNaNKansas City Kansas Public SchoolsMiddle SchoolAsianNaNNaNNaNNaNNaNNaNNaNNaNNaNThank you3 min. 12 sec.
1329NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN31 sec.